Amanda Hulse-Kemp
AH
U.S. Department of Agriculture Agricultural Research Service (Department of Crop and Soil Sciences)
Assistant Professor, USDA
Plant Sciences Building
919-513-2037 amanda.hulse-kemp@ncsu.edu WebsiteBio
The research in our lab focuses on biological questions which can be answered with computational analyses. We are particularly interested in resource development and integration of genomic and biotechnology tools and references which can benefit breeders, such as high-quality reference genome sequences. We study a large range of agronomically important crops such as cotton, spinach, pepper, coffee, and tomato as well as animals.
Area(s) of Expertise
Genomics, Breeding, Computational Biology, and Bioinformatics
Publications
- BrAPI v2: real-world applications for data integration and collaboration in the breeding and genetics community , DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2025)
- Chromosome-Scale Assemblies of Flowering Dogwood Cultivars Enable Identification of Candidate Genes Regulating Anthocyanin Biosynthesis in Leaves and Bracts , (2025)
- Evaluating UAV captured RGB and multispectral imagery as a proxy for visual rating of leaf spot in cultivated peanut , PLANT PHENOME JOURNAL (2025)
- The integration of quantitative trait locus mapping and transcriptome studies reveals candidate genes for water stress response in St. Augustinegrass , BMC Plant Biology (2025)
- Trait mapping differentiates loci influencing spike and flag leaf glaucousness in wheat , PLANT GENOME (2025)
- A Blueberry ( Vaccinium L.) Crop Ontology to Enable Standardized Phenotyping for Blueberry Breeding and Research , HORTSCIENCE (2024)
- CitDet: A Benchmark Dataset for Citrus Fruit Detection , IEEE ROBOTICS AND AUTOMATION LETTERS (2024)
- De novo whole-genome assembly and annotation of Coffea arabica var. Geisha, a high-quality coffee variety from the primary origin of coffee , G3: Genes, Genomes, Genetics (2024)
- Few-Shot Fruit Segmentation via Transfer Learning , 2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2024) (2024)
- A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane , FRONTIERS IN PLANT SCIENCE (2023)